Real-world gen AI use cases from industry leaders

Real-world gen AI use cases from industry leaders

We first published this list two years ago at Next ’24, when the agency era was just dawning. Seeing this list grow – fueled by our customer’s enthusiastic commitment to AI – proves that we are now firmly in the agency era.

This is almost certainly the fastest technology transformation we’ve seen, and customers are driving it. Production AI and agent systems are now being implemented in meaningful ways across virtually every one of the thousands of organizations joining us this week in Las Vegas for Next ’26.

To celebrate the work of our customers, we’re expanding this list again, adding hundreds more, and now well beyond the 101 we started with. The vast majority showcase effective applications of agent AI, built with tools like Gemini Enterprise, Gemini CLI, Security Command Center, and our AI Hypercomputer infrastructure stack.

Like the thousands of organizations mentioned here, we thought it would be appropriate to enlist the help of AI to gain some interesting perspectives. Especially when the list has become so long, it would be difficult to read in one go without the benefit of an LLM.

We uploaded the complete data set to Gemini Enterprise, running the latest Gemini Pro models due to its deep research capabilities, and asked to see the ten most notable trends and insights. Our team then reviewed the output and selected our five favorites and refined them with our own input. Here are the ones that actually nicely reflect many of the thousands of conversations we’ve had about gen AI over the past two years:

  1. The shift from assistants to agent teams: The most significant trend is the transition from AI as a passive assistant to AI as an active part of the team, where specialized agents can orchestrate entire workflows. For example, supply chain agents talk to compliance agents, who then trigger financial forecasting agents—all autonomously. The business opportunity lies in building management and governance frameworks for these agency task forces.
  2. Natural language is the translator for older IT: A massive, challenging but very lucrative trend is using artificial intelligence to unlock legacy systems. Organizations use Gemini to build natural language interfaces on top of 40-year-old SAP instances, mainframes, and COBOL codebases. This allows non-technical staff to query complex, closed data simply by asking a question, bypassing IT bottlenecks and modernizing legacy infrastructure without migrating it.
  3. Gen media as a low-marginal-cost factory: With models such as Veo 3 and Imagen 4, media creation shifts from a strictly manual production process to a computational process. Brands like WPP and Authentic Brands Group turn a single hypothesis into hundreds or even thousands of personalized, cinematic creative variations in hours. It brings a whole new process to marketing, creating hyper-personal, creative real-time computing.
  4. Multimodality digitizes the physical world: AI is bordering beyond the browser. You can transfer live video feeds, architectural drawings, environmental sensors and more to multimodal models to better understand a project. We see AI actively monitoring factory floors for safety hazards, evaluating physical shelf inventory via robotics, and even analyzing athlete biomechanics from smartphone footage. There is a lot of room to explore spatial AI.
  5. Cyber ​​security moves to agent automated remediation: The threat landscape has evolved, and so has the defense. Security teams are no longer just using AI to detect anomalies. Platforms deploy AI agents that can automatically write logging rules, isolate compromised workloads, and deploy “honey tokens” to fool malicious actors. AI actively hunts down and neutralizes tier-1 threats without human intervention.

We hope that these insights provide inspiration for your own business – or that you come up with your own. Try it yourself in Gemini Enterprise or NotebookLM to see what ideas you can uncover for your teams. It might even make the list next time!


The list is organized by 11 major industry groups, and within these six agent types: Customer, Employee, Creative, Code, Data and Security. There are 301 new entries in this edition, marked with an asterisk

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